Norland Group
2884-Data Scientist
Norland Group, Oakland, California, United States, 94616
This position requires - Clear Background, Drug Test, and Education Check.Must be authorized to work in the US for any employer without Sponsorship.(Principal Only!
No Corp to Corp )Position Title:
2884-Data ScientistLocation: Oakland, CAPay Rate:
$75 - $100Contract Duration:
1 YearDescription:***OPEN TO BOTH LOCAL AND NON-LOCAL CANDIDATES*** 100% Remote or they can be hybrid as well.Position SummaryLooking for a Data Scientist with experience in delivering data science products end-to-end. In this role, the successful candidates will be uniquely positioned at the forefront of utility industry analytics, having the opportunity to advance PG&E’s triple bottom line of People, Planet, and Prosperity. Working as part of cross-functional teams, including data engineers, data scientists, technologists, subject matter experts, and change management professionals – this individual will lead the development of computer vision models to improve, accelerate, and automate asset inspections processes. The individual will participate in the full lifecycle of the delivery process from initial value discovery to model-building to building data products to deliver value to end users.The responsibilities of these positions include:• Leads conversations with business stakeholders and subject matter experts to understand business and subject matter context• Scopes and prioritizes modeling work to deliver business value• Applies data science, machine learning and other analytical modeling methods to develop defensible and reproducible predictive models• Serves as the technical lead for the development of computer vision models, leading data labeling, model training and model evaluation• Extracts, transforms, and loads data from dissimilar sources from across PG&E for model-building and analysis• Writes and documents python code for data science (feature engineering and machine learning modeling) independently• Documents and presents data science experiments and findings clearly to other data scientists and business stakeholders.• Acts as peer reviewer of models and analyses built by other data scientists• Develops and presents summary presentations to business.• Presents findings and makes recommendations to officers and cross-functional management.• Builds and maintains strong relationships with business units and external agencies.• Works with cross-functional teams, including data engineers, machine learning engineers, data scientists, and subject matter experts.Education Minimum:
Bachelor’s degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.Education Desired:
Master’s degree in one of the above areas.Experience Minimum:
4 years in data science for business (or 2 years, if possess master’s degree, as described above).Knowledge, Skills, Abilities and (Technical) Competencies:• Demonstrated knowledge of and abilities with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them• Competency in software engineering, statistics, and machine learning techniques as they apply to data science deployment• Competency in commonly used data science and/or operations research programming languages, packages, and tools.• Hands-on and theoretical experience of data science/machine learning models and algorithms• Ability to synthesize complex information into clear insights and translate those insights into decisions and actions. Demonstrated ability to explain in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.• Competency in the mathematical and statistical fields that underpin data science• Mastery in systems thinking and structuring complex problems• Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies• Desired:
experience building computer vision models• Desired:
experience with AWS technologies (S3, GroundTruth, Sagemaker)We encourage Minorities, Women, Protected Veterans and Disabled individuals to apply for all positions that they may be qualified for. We maintain a drug-free workplace and perform pre-employment substance abuse testing and background checks.If you are interested in this position, please submit your resume in a
Word Document with the month and year
that you have worked at each previous position to -
lisa@norlandgroup.com
and copy:
2884-Data Scientist
to the email Subject Line.Or click this email link and attach your resume in a MS Word Document format.Job Posted Date: 11/4/2024
#J-18808-Ljbffr
No Corp to Corp )Position Title:
2884-Data ScientistLocation: Oakland, CAPay Rate:
$75 - $100Contract Duration:
1 YearDescription:***OPEN TO BOTH LOCAL AND NON-LOCAL CANDIDATES*** 100% Remote or they can be hybrid as well.Position SummaryLooking for a Data Scientist with experience in delivering data science products end-to-end. In this role, the successful candidates will be uniquely positioned at the forefront of utility industry analytics, having the opportunity to advance PG&E’s triple bottom line of People, Planet, and Prosperity. Working as part of cross-functional teams, including data engineers, data scientists, technologists, subject matter experts, and change management professionals – this individual will lead the development of computer vision models to improve, accelerate, and automate asset inspections processes. The individual will participate in the full lifecycle of the delivery process from initial value discovery to model-building to building data products to deliver value to end users.The responsibilities of these positions include:• Leads conversations with business stakeholders and subject matter experts to understand business and subject matter context• Scopes and prioritizes modeling work to deliver business value• Applies data science, machine learning and other analytical modeling methods to develop defensible and reproducible predictive models• Serves as the technical lead for the development of computer vision models, leading data labeling, model training and model evaluation• Extracts, transforms, and loads data from dissimilar sources from across PG&E for model-building and analysis• Writes and documents python code for data science (feature engineering and machine learning modeling) independently• Documents and presents data science experiments and findings clearly to other data scientists and business stakeholders.• Acts as peer reviewer of models and analyses built by other data scientists• Develops and presents summary presentations to business.• Presents findings and makes recommendations to officers and cross-functional management.• Builds and maintains strong relationships with business units and external agencies.• Works with cross-functional teams, including data engineers, machine learning engineers, data scientists, and subject matter experts.Education Minimum:
Bachelor’s degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.Education Desired:
Master’s degree in one of the above areas.Experience Minimum:
4 years in data science for business (or 2 years, if possess master’s degree, as described above).Knowledge, Skills, Abilities and (Technical) Competencies:• Demonstrated knowledge of and abilities with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them• Competency in software engineering, statistics, and machine learning techniques as they apply to data science deployment• Competency in commonly used data science and/or operations research programming languages, packages, and tools.• Hands-on and theoretical experience of data science/machine learning models and algorithms• Ability to synthesize complex information into clear insights and translate those insights into decisions and actions. Demonstrated ability to explain in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.• Competency in the mathematical and statistical fields that underpin data science• Mastery in systems thinking and structuring complex problems• Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies• Desired:
experience building computer vision models• Desired:
experience with AWS technologies (S3, GroundTruth, Sagemaker)We encourage Minorities, Women, Protected Veterans and Disabled individuals to apply for all positions that they may be qualified for. We maintain a drug-free workplace and perform pre-employment substance abuse testing and background checks.If you are interested in this position, please submit your resume in a
Word Document with the month and year
that you have worked at each previous position to -
lisa@norlandgroup.com
and copy:
2884-Data Scientist
to the email Subject Line.Or click this email link and attach your resume in a MS Word Document format.Job Posted Date: 11/4/2024
#J-18808-Ljbffr